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Boolean Representation for Exact Biclustering
Fundamenta Informaticae, 2018Biclustering is a branch of data analysis, whereby the goal is to find two–dimensional subgroups in a matrix of scalars. We introduce a new approach for biclustering discrete and binary matrices on the basis of boolean function analysis. We draw the correspondence between non–extendable (maximal with respect to inclusion) exact biclusters and prime ...
Marcin Michalak 0001, Dominik Slezak
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Biclustering of expression data.
Proceedings. International Conference on Intelligent Systems for Molecular Biology, 2001An efficient node-deletion algorithm is introduced to find submatrices in expression data that have low mean squared residue scores and it is shown to perform well in finding co-regulation patterns in yeast and human. This introduces "biclustering", or simultaneous clustering of both genes and conditions, to knowledge discovery from expression data ...
Yizong Cheng, George M. Church
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International Journal of Biomedical Engineering and Technology, 2018
Clustering has various methods for solving the different research problems in biological domain. Analysis of gene expression data in biomedical filed is very critical task, in which various algorithms are proposed under different experimental conditions.
E. Saravana Kumar +3 more
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Clustering has various methods for solving the different research problems in biological domain. Analysis of gene expression data in biomedical filed is very critical task, in which various algorithms are proposed under different experimental conditions.
E. Saravana Kumar +3 more
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BARTMAP: A viable structure for biclustering
Neural Networks, 2011Clustering has been used extensively in the analysis of high-throughput messenger RNA (mRNA) expression profiling with microarrays. Furthermore, clustering has proven elemental in microRNA expression profiling, which demonstrates enormous promise in the areas of cancer diagnosis and treatment, gene function identification, therapy development and drug ...
Rui Xu 0001, Donald C. Wunsch II
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On Set Covering Based on Biclustering
International Journal of Information Technology & Decision Making, 2014In this paper, we present a clustering heuristic for solving demand covering models where the objective is to determine locations for servers that optimally cover a given set of demand points. This heuristic is based on the concept of biclusters and processes the set of demand points as well as the set of potential servers and determines biclusters ...
Antiopi Panteli +2 more
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Foundations of Rough Biclustering
2012Amongst the algorithms for biclustering using some rough sets based steps none of them uses the formal concept of rough bicluster with its lower and upper approximation. In this short article the new foundations of rough biclustering are described. The new relation β generates β−description classes that build the rough bicluster defined with its lower ...
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Bagged Biclustering for Microarray Data
2010One of the major tools of transcriptomics is the biclustering that simultaneously constructs a partition of both examples and genes. Several methods have been proposed for microarray data analysis that enables to identify groups of genes with similar expression profiles only under a subset of examples.
Blaise Hanczar, Mohamed Nadif
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